H. Soldano et al., SEARCHING FOR FLEXIBLE REPEATED PATTERNS USING A NON-TRANSITIVE SIMILARITY RELATION, Pattern recognition letters, 16(3), 1995, pp. 233-246
Citations number
3
Categorie Soggetti
Computer Sciences, Special Topics","Computer Science Artificial Intelligence
Given a reflexive and symmetric, but not necessarily transitive, simil
arity relation defined on an alphabet of symbols, two objects of size
k are related if, at each position, their symbols are related. Then, g
iven a set of objects, we are interested in maximal subsets of related
objects. We give some general properties of these subsets and we prop
ose algorithms for identifying them in the particular case of k-length
substrings in a string. These algorithms derive from the Karp, Miller
and Rosenberg algorithms for the identification of repeated patterns.